NEUP CINR-20-19128: Machine Learning on High-Throughput Databases of Irradiation Response and Corrosion Properties of Selected Compositionally Complex Alloys for Structural Nuclear Materials

This project will integrate high-throughput synthesis, irradiation, and characterization with atomistic and mesoscale simulation and machine learning to develop understanding and predictive models for irradiation response and corrosion properties of selected alloys. The focus will be on structural Compositionally Complex Alloys relevant for high temperature nuclear applications.

Additional Info

Field	Value
Awarded Institution	University of Wisconsin-Madison
PI	Dane Morgan